Race result
Game |
Assetto Corsa |
Session |
Race |
Track |
mugello |
Winner |
Kevin Lara
|
Led most laps |
Boogie |
Best lap |
Boogie (01:20.9410) |
Lasted laps |
3 |
Host |
Unknown |
Pos |
Driver |
Vehicle |
Laps |
Time/Retired |
Best lap |
Consistency |
Led |
1 |
Kevin Lara |
gp_2022_c42 |
3 |
04:42.5590
|
01:25.5700 |
- |
1 |
2 |
Boogie |
gp_2022_f175 |
3 |
+00:08.4850
|
01:20.9410 |
- |
2 |
3 |
VM LividFizz |
gp_2022_fw44 |
2 |
+1 lap
|
- |
- |
0 |
4 |
Naomi Schiff |
bg_mercedes_amg_gt_black_series |
0 |
DNF
|
- |
- |
0 |
Race laps
■
Bad lap, 107% rule compared to the overall best lap of the
session. Excludes first lap for race sessions
■
Personal best lap/sector
■
Overall best lap/sector for a lap
■
Overall best lap/sector for a lap and personal best lap/sector
■
Overall best lap/sector
■
Invalid for best lap
(P)
Pit lap
Kevin Lara
Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
Compound |
Cuts |
1
(INVALID)
|
gp_2022_c42 |
01:46.3460 |
27.2550
|
29.7940
|
49.2970
|
F:S - R:S
|
1
|
2
|
gp_2022_c42 |
01:25.5700 |
21.6020
|
25.2000
|
38.7680
|
F:S - R:S
|
0
|
3
|
gp_2022_c42 |
01:30.6810 |
26.5380
|
24.5250
|
39.6180
|
F:S - R:S
|
0
|
Average |
|
01:34.1990 |
25.1317 |
26.5063 |
42.5610 |
|
|
Best possible |
|
01:24.8950 |
21.6020 |
24.5250 |
38.7680 |
|
Boogie
Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
Compound |
Cuts |
1
(INVALID)
|
gp_2022_f175 |
01:26.8080 |
26.2830
|
23.2110
|
37.3140
|
F:S - R:S
|
1
|
2
|
gp_2022_f175 |
01:20.9410 |
20.9240
|
23.0760
|
36.9410
|
F:S - R:S
|
0
|
3
(INVALID)
|
gp_2022_f175 |
02:03.3330 |
21.2680
|
24.6910
|
77.3740
|
F:M - R:M
|
1
|
Average |
|
01:37.0273 |
22.8250 |
23.6593 |
50.5430 |
|
|
Best possible |
|
01:20.9410 |
20.9240 |
23.0760 |
36.9410 |
|
VM LividFizz
Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
Compound |
Cuts |
1
(INVALID)
|
gp_2022_fw44 |
01:53.1630 |
27.6170
|
23.1620
|
62.3840
|
F:S - R:S
|
1
|
2
(INVALID)
|
gp_2022_fw44 |
01:41.6360 |
27.1480
|
22.5590
|
51.9290
|
F:S - R:S
|
1
|
Average |
|
01:47.3995 |
27.3825 |
22.8605 |
57.1565 |
|
|
Best possible |
|
01:41.6360 |
27.1480 |
22.5590 |
51.9290 |
|
Naomi Schiff
Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
Compound |
Cuts |
No laps for this driver |
Race best laps
Overall top (20) |
Driver |
Vehicle |
Time |
Gap |
Boogie
|
gp_2022_f175 |
01:20.9410 |
|
Kevin Lara
|
gp_2022_c42 |
01:25.5700 |
4.629 |
Boogie
|
gp_2022_f175 |
01:26.8080 |
5.867 |
Kevin Lara
|
gp_2022_c42 |
01:30.6810 |
9.74 |
VM LividFizz
|
gp_2022_fw44 |
01:41.6360 |
20.695 |
Kevin Lara
|
gp_2022_c42 |
01:46.3460 |
25.405 |
VM LividFizz
|
gp_2022_fw44 |
01:53.1630 |
32.222 |
Boogie
|
gp_2022_f175 |
02:03.3330 |
42.392 |
Per driver |
Driver |
Vehicle |
Time |
Gap |
Boogie
|
gp_2022_f175 |
01:20.9410 |
|
Kevin Lara
|
gp_2022_c42 |
01:25.5700 |
4.629 |
Race consistency
Based on best lap minus average non-best. Pit laps, first lap and laps slower
than 21 seconds are ignored.
Driver |
Vehicle |
Consistency |
Kevin Lara
|
gp_2022_c42 |
- |
Boogie
|
gp_2022_f175 |
- |
VM LividFizz
|
gp_2022_fw44 |
- |
Naomi Schiff
|
bg_mercedes_amg_gt_black_series |
- |
Race sectors
Sector 1 |
Driver |
Time |
Gap |
Boogie
|
20.9240 |
- |
Kevin Lara
|
21.6020 |
0.6780 |
VM LividFizz
|
27.1480 |
6.2240 |
Sector 2 |
Driver |
Time |
Gap |
VM LividFizz
|
22.5590 |
- |
Boogie
|
23.0760 |
0.5170 |
Kevin Lara
|
24.5250 |
1.9660 |
Sector 3 |
Driver |
Time |
Gap |
Boogie
|
36.9410 |
- |
Kevin Lara
|
38.7680 |
1.8270 |
VM LividFizz
|
51.9290 |
14.9880 |
Race cuts
Overall in order |
Date |
Lap e.t. |
Lap |
Driver |
Cut time |
Time skipped |
|
00:00 |
1 |
Kevin Lara
|
|
|
|
00:00 |
1 |
Boogie
|
|
|
|
00:00 |
3 |
Boogie
|
|
|
|
00:00 |
1 |
VM LividFizz
|
|
|
|
00:00 |
2 |
VM LividFizz
|
|
|
Per driver |
Date |
Lap e.t. |
Lap |
Driver |
Cut time |
Time skipped |
Kevin Lara |
|
00:00 |
1 |
Kevin Lara |
|
|
Boogie |
|
00:00 |
1 |
Boogie |
|
|
|
00:00 |
3 |
Boogie |
|
|
VM LividFizz |
|
00:00 |
1 |
VM LividFizz |
|
|
|
00:00 |
2 |
VM LividFizz |
|
|
Race positions
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Race gaps
The leader is the top baseline.
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Race gaps v2
Average lap time of the winner is the top baseline.
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